MétaCan
Menu
Back to cohort
Record W2602682248 · doi:10.1039/c7tb00426e

Reversible bidirectional bending of hydrogel-based bilayer actuators

2017· article· en· W2602682248 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Materials Chemistry B · 2017
Typearticle
Languageen
FieldEngineering
TopicAdvanced Materials and Mechanics
Canadian institutionsAlberta Hospital EdmontonUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBilayerMaterials scienceActuatorBendingComposite materialNanotechnologyOptoelectronicsComputer scienceMembraneArtificial intelligenceChemistry

Abstract

fetched live from OpenAlex

Temperature and pH responsive semi-interpenetrating network (semi-IPN) hydrogel-based bilayer actuators were fabricated by generating a poly(N-isopropylacrylamide) (pNIPAm)-based hydrogel in the presence of positively charged polyelectrolyte poly(diallyldimethylammonium chloride) (pDADMAC) on a layer of gold-coated polydimethylsiloxane (PDMS). The bilayers showed unique bidirectional bending behavior in response to solution temperature and pH, which is a result of the modulation of the hydrogel solvation state in response to solution temperature and pH changes. The behavior described here is vastly different than what is observed from bilayers composed of just pNIPAm. The direction and degree of bending of the device could be easily adjusted by tuning the composition of the hydrogel layer. We also showed that the bilayers could be used as stimulus-induced grippers and for controlled/triggered small molecule delivery, which can make the bilayers useful for various biomedical applications.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.598

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.234
Teacher spread0.221 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it